Triple

T15947616
Position Surface form Disambiguated ID Type / Status
Subject Lauingen E386724 entity
Predicate hasSubdivision P747 FINISHED
Object Faimingen
Faimingen is a village and district of the town of Lauingen in the Bavarian region of Germany, known for its rural character and local community life.
E1184332 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Faimingen | Statement: [Lauingen, hasSubdivision, Faimingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faimingen
Context triple: [Lauingen, hasSubdivision, Faimingen]
  • A. Aumetz
    Aumetz is a commune in northeastern France, located in the Moselle department near the border with Luxembourg.
  • B. Finnebach
    Finnebach is a small river in Germany that serves as a tributary of the Unstrut.
  • C. Rolandseck
    Rolandseck is a district of Remagen in Rhineland-Palatinate, Germany, known for its scenic location on the Rhine and its historic railway station and cultural venues.
  • D. Fürstenau
    Fürstenau is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
  • E. Fürstenau
    Fürstenau is a small town in Lower Saxony, Germany, known for its historic center and location within the Osnabrück region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Faimingen
Triple: [Lauingen, hasSubdivision, Faimingen]
Generated description
Faimingen is a village and district of the town of Lauingen in the Bavarian region of Germany, known for its rural character and local community life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Faimingen
Target entity description: Faimingen is a village and district of the town of Lauingen in the Bavarian region of Germany, known for its rural character and local community life.
  • A. Aumetz
    Aumetz is a commune in northeastern France, located in the Moselle department near the border with Luxembourg.
  • B. Finnebach
    Finnebach is a small river in Germany that serves as a tributary of the Unstrut.
  • C. Rolandseck
    Rolandseck is a district of Remagen in Rhineland-Palatinate, Germany, known for its scenic location on the Rhine and its historic railway station and cultural venues.
  • D. Fürstenau
    Fürstenau is a small town in Lower Saxony, Germany, known for its historic center and location within the Osnabrück region.
  • E. Fürstenau
    Fürstenau is a village and district within the town of Höxter in North Rhine-Westphalia, Germany.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d2fda8819085279d2a0f8a02ab completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5c0c8a481908aa7a40bca15e38e completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb6d3bc6c81909e4bbedeea557615 completed May 9, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_69ffb7364cf88190b0930af7768dc429 completed May 9, 2026, 10:37 p.m.
Created at: April 10, 2026, 4:53 a.m.